Pinned Repositories
caffe-project-VggNet-ResNet-DenseNet
caffe-video_triplet
Unsupervised Learning using Videos (ICCV 2015)
chinaddress
china_address_json
DBNet.pytorch
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
ncnn-webassembly-nanodet
Deploy nanodet, the super fast and lightweight object detection, in your web browser with ncnn and webassembly
srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
triplet
Re-implementation of tripletloss function in FaceNet
Triplet-Loss
Apply triplet loss to face recognition， adding new loss layer to the latest version of caffe.
07freedom's Repositories
07freedom/caffe-project-VggNet-ResNet-DenseNet
07freedom/caffe-video_triplet
Unsupervised Learning using Videos (ICCV 2015)
07freedom/chinaddress
china_address_json
07freedom/DBNet.pytorch
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
07freedom/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
07freedom/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
07freedom/ncnn-webassembly-nanodet
Deploy nanodet, the super fast and lightweight object detection, in your web browser with ncnn and webassembly
07freedom/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
07freedom/triplet
Re-implementation of tripletloss function in FaceNet
07freedom/Triplet-Loss
Apply triplet loss to face recognition， adding new loss layer to the latest version of caffe.